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The Award database is continually updated throughout the year. As a result, data for FY22 is not expected to be complete until September, 2023.

Download all SBIR.gov award data either with award abstracts (290MB) or without award abstracts (65MB). A data dictionary and additional information is located on the Data Resource Page. Files are refreshed monthly.

  1. Twiner Ph II

    SBC: SOAR TECHNOLOGY INC            Topic: N18AT019

    Human interaction in cyberspace leaves indicators in the three layers that define cyberspace: persona, logical and physical. The proposed effort seeks to develop algorithms and software to integrate data and context across all three layers, “intertwining” data to create a more holistic and complete picture of cyber activity. Such an integrated perspective will allow cyber professionals to bett ...

    STTR Phase II 2020 Department of DefenseNavy
  2. Innovative Processing Techniques for Additive Manufacture of 7000 Series Aluminum Alloy Components

    SBC: SENSIGMA LLC            Topic: N18AT005

    Naval aircraft components are routinely made of 7000 series aluminum alloys due to their strength, weight and fatigue properties. Present Additive Manufacturing (AM) processes fall short of producing 7000 series Al alloys successfully due to lack of porosity, and thermal and composition control. In-situ methods implemented to date largely only yield information about the component surface and othe ...

    STTR Phase II 2020 Department of DefenseNavy
  3. Durable Low Adhesion Anti-Icing and Ice-Phobic Surfaces

    SBC: HygraTek LLC            Topic: N14AT013

    Ice accretion is a significant problem for naval ship superstructures, decks, equipment and vehicles on board naval ships. In our work we show that by tailoring the crosslink density of different elastomeric coatings, and by allowing for interfacial slippage, it is possible to systematically design coatings with extremely low ice-adhesion (ice < 1 kPa). The use of interfacial slippage as opposed t ...

    STTR Phase II 2016 Department of DefenseNavy
  4. Innovations in Designing Damage Tolerant Rotorcraft Components by Interface Tailoring

    SBC: HARP ENGINEERING LLC            Topic: N19AT003

    The performance of a composite material is heavily influenced by the strength and toughness of the interlaminar region, which is the resin rich area between the plies of a fiber reinforced composite.  The interlaminar region generally provides a direct path for crack propagation since no continuous reinforcement is present and is often the cause of failure in materials subjected to cyclic loadin ...

    STTR Phase II 2020 Department of DefenseNavy
  5. Fully Metallic Self-Fragmenting Structural Reactive Materials Using Composites and Alloys Comprised of Aluminum, Lithium, and Magnesium

    SBC: Adranos Energetics LLC            Topic: DTRA16A002

    While aluminum casing materials provide some enhanced performance and thermal loading to explosive ordinance, their overall effectiveness is highly limited by incomplete combustion and long residence times. In order to reduce these problems, the casing material must be designed to facilitate rapid fragmentation through either specialized casing geometries or greatly refined initial particle sizes. ...

    STTR Phase I 2016 Department of DefenseDefense Threat Reduction Agency
  6. Advanced Electromagnetic Modeling with High Geometric Fidelity Using High-Order Curved Elements

    SBC: VIRTUAL EM INC.            Topic: N20BT028

    Virtual EM is proposing a method to achieve orders of magnitude improvement in computational efficiency in full-wave CEM codes by using high-order curved elements. Virtual EM’s own commercial product VirAntenn™ will provide the CEM setting for both developing and implementing the new capability in Phase I and Phase II, respectively. Using multi-wavelength long cells with high-order basis forms ...

    STTR Phase I 2020 Department of DefenseNavy
  7. Reduction of Predictable Spurs in the ADC outputs using AI

    SBC: VIRTUAL EM INC.            Topic: N20AT025

    An AI-based algorithm is being proposed to increase ADC linearity by 10dB. Neural Nets will be investigated in conjunction with models of spurs to accomplish the task.

    STTR Phase I 2020 Department of DefenseNavy
  8. Innovative Mitigation of Radiation Effects in Advanced Technology Nodes

    SBC: Reliable MicroSystems, LLC            Topic: DTRA16A003

    Establish a radiation-aware analysis capability in a commercial EDA design flow that will enable first-pass success in radiation-hardened by design (RHBD) for DoD ASICs in much the same way that existing EDA design suites ensure first pass functionality and performance success of complex ASICs destined for commercial applications. Layout-aware, calibrated single-event radiation models that captur ...

    STTR Phase I 2016 Department of DefenseDefense Threat Reduction Agency
  9. Embedded Space Analytics

    SBC: INFOBEYOND TECHNOLOGY, LLC            Topic: N16AT020

    Navy needs a real-time graph embedding tool for analyzing huge graphs (millions of nodes and billions of edges) from diverse sources. However, current approaches cannot provide dynamic and scalable graph analytics to show the military value of tactical data. In this project, InfoBeyond advocates EStreaming (Embedding & Streaming) for scalable and efficient graph streaming. EStreaming promotes big ...

    STTR Phase I 2016 Department of DefenseNavy
  10. Novel Separator Materials for Achieving High Energy/Power Density, Safe, Long-Lasting Lithium-ion Batteries for Navy Aircraft Applications.

    SBC: OCEANIT LABORATORIES INC            Topic: N16AT008

    Oceanit proposes to develop and demonstrate novel, tailored, designer separator materials with optimized properties to maximize lithium-ion cell/battery performance, life, safety and reliability.

    STTR Phase I 2016 Department of DefenseNavy
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